NXP Semiconductors introduces an agentic AI software foundation for low-latency, secure decision-making on edge devices across industrial, automotive, and IoT applications.
From January 6-9 in Las Vegas, Franka Robotics and NVIDIA showcase NVIDIA GR00T AI integrated with Franka Research 3, advancing embodied AI and robot learning.
Built on NVIDIA Jetson Thor system-on-module (SoM), the EAI-I351 is designed to deliver server-class performance for autonomous mobile robots (AMRs), heavy-duty industrial vehicles, and edge-native generative AI applications.
Siemens and NVIDIA expand a long-term collaboration to integrate AI, simulation, and automation into a unified software-defined foundation for industrial engineering, production, and operations.
Universal Robots and Robotiq demonstrate a digitally simulated and physically deployed palletizing cell with Siemens at CES 2026 to illustrate data-driven automation design and operation.
The new software connects real-time operational data with high-fidelity digital twins, enabling virtual validation of products, production systems, and facilities before physical implementation.
Vecow extends its rugged edge computing platform with a new NVIDIA Jetson T4000–based variant to support sensor-intensive robotics, real-time AI processing, and scalable physical AI deployment.
Qualcomm is extending its robotics roadmap with a safety-grade, energy-efficient compute architecture designed to support scalable physical AI across service, industrial, and humanoid robots.
From January 6-9, in Las Vegas, Silicon Labs introduces an enterprise-grade Zephyr SDK for IoT development, advancing connected embedded systems with scalable tools and wireless support.